Automated Bone Removal System with 3D Scanning
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Solution Overview
Problem
Current automated systems for removing bones from primal and sub-primal meat cuts are inconsistent due to variations in meat cut geometry, leading to labor-intensive and time-consuming processes with potential safety challenges and high yield loss.
Innovation Solution
An automated system featuring a conveyance system with a continuous conveyor and a bone sensor that captures 3D images of bones to determine precise cut lines, using a controllable saw to adjust cuts based on analyzed data, ensuring consistent and efficient bone removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated systems are used to remove bones from meat cuts, then productivity increases and labor intensity decreases, but manufacturing precision deteriorates due to inconsistent cuts caused by variations in meat cut geometry
Solution Approach 1:
The system dynamically adjusts the saw blade position and cutting path in real-time based on the scanned geometry of each meat cut. The cutting head moves along a programmed path that adapts to the specific shape and bone location of each piece, maintaining precision despite geometric variations.
Solution Approach 2:
The system replaces manual visual inspection and positioning with optical scanning technology. A scanner captures the 3D geometry and bone structure of each meat cut, and a computer program automatically calculates the optimal cutting path, eliminating the need for human operators to visually assess each piece.
2Manufacturing precision
If human operators manually process meat cuts, then manufacturing precision is maintained through skill and experience, but productivity is limited by operator speed and labor intensity remains high
Solution Approach 1:
The system performs self-positioning and self-adjustment through automated scanning and programming. The scanner independently identifies bone locations and cut lines, and the programmed control system automatically adjusts the saw blade position without requiring human intervention for each cut.
Solution Approach 2:
The system extracts the critical decision-making function from human operators by using optical scanning to capture meat cut geometry and bone structure. A computer program then processes this data to determine optimal cutting paths, removing the need for human visual assessment and manual positioning.
3Productivity
If automated cutting systems are used, then productivity increases, but adaptability to varying meat cut geometries deteriorates leading to inconsistent cuts
Solution Approach 1:
The system performs preliminary scanning and measurement of each meat cut's geometry and bone structure before the actual cutting begins. This advance assessment allows the programmed control system to calculate and prepare the optimal cutting path specific to each piece's characteristics.
Solution Approach 2:
The optical scanner provides real-time feedback on the actual geometry and bone location of each meat cut. The control system uses this feedback information to adjust the cutting path and blade position, ensuring the cut adapts to the specific features of each piece being processed.
Data Source
AI summary
A system and method for removing a bone from a primal or sub primal meat cut that includes a conveyance system having a continuous conveyor extending along a path of conveyance from an upstream point at the loading end to a downstream point at the discharge. The system includes a pair of opposing support surfaces projecting vertically upward from a first position of the continuous conveyor along the path of conveyance whereby each of the opposing support surfaces of the pair inwardly extend one toward the other, from an upper level downward vertically to a lower level. Each opposing support surface of the pair has a downward slope and each opposing surface of the pair converges at a recessed valley at the lower level.